700 resultados para Data reporting


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This report presents the results of a study exploring the law and practice of mandatory reporting of child abuse and neglect in South Australia. Government administrative data over a decade (2003-2012) were accessed and analysed to map trends in reporting of different types of child abuse and neglect (physical abuse, sexual abuse, emotional abuse, and neglect) by different reporter groups (both mandated reporters e.g., police, teachers, doctors, nurses; and non-mandated reporters e.g., family members, neighbours), and the outcomes of these reports (whether investigated, and whether substantiated or not). The study was funded by the Australian Government and administered through the Government of Victoria.

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This report presents the results of a study exploring the law and practice of mandatory reporting of child abuse and neglect in Tasmania. Government administrative data over a nine year period (2004-2012) were accessed and analysed to map trends in reporting of different types of child abuse and neglect (physical abuse, sexual abuse, emotional abuse, and neglect) by different reporter groups (both mandated reporters e.g., police, teachers, doctors, nurses; and non-mandated reporters e.g., family members, neighbours), and the outcomes of these reports (whether investigated, and whether substantiated or not). The study was funded by the Australian Government and administered through the Government of Victoria.

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This report presents the results of a study exploring the law and practice of mandatory reporting of child abuse and neglect in Victoria. Government administrative data over a decade (2003-2012) were accessed and analysed to map trends in reporting of different types of child abuse and neglect (physical abuse, sexual abuse, emotional abuse, and neglect) by different reporter groups (both mandated reporters e.g., police, teachers, doctors, nurses; and non-mandated reporters e.g., family members, neighbours), and the outcomes of these reports (whether investigated, and whether substantiated or not). The study was funded by the Australian Government and administered through the Government of Victoria.

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This report presents the results of a study exploring the law and practice of mandatory reporting of child abuse and neglect in Western Australia. Government administrative data over a decade (2003-2012) were accessed and analysed to map trends in reporting of different types of child abuse and neglect (physical abuse, sexual abuse, emotional abuse, and neglect) by different reporter groups (e.g., police, teachers, doctors, nurses, family members, neighbours), and the outcomes of these reports (whether investigated, and whether substantiated or not). The study was funded by the Australian Government and administered through the Government of Victoria.

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Child sexual abuse is widespread and difficult to detect. To enhance case identification, many societies have enacted mandatory reporting laws requiring designated professionals, most often police, teachers, doctors and nurses, to report suspected cases to government child welfare agencies. Little research has explored the effects of introducing a reporting law on the number of reports made, and the outcomes of those reports. This study explored the impact of a new legislative mandatory reporting duty for child sexual abuse in the State of Western Australia over seven years. We analysed data about numbers and outcomes of reports by mandated reporters, for periods before the law (2006-08) and after the law (2009-12). Results indicate that the number of reports by mandated reporters of suspected child sexual abuse increased by a factor of 3.7, from an annual mean of 662 in the three year pre-law period to 2448 in the four year post-law period. The increase in the first two post-law years was contextually and statistically significant. Report numbers stabilised in 2010-12, at one report per 210 children. The number of investigated reports increased threefold, from an annual mean of 451 in the pre-law period to 1363 in the post-law period. Significant decline in the proportion of mandated reports that were investigated in the first two post-law years suggested the new level of reporting and investigative need exceeded what was anticipated. However, a subsequent significant increase restored the pre-law proportion, suggesting systemic adaptive capacity. The number of substantiated investigations doubled, from an annual mean of 160 in the pre-law period to 327 in the post-law period, indicating twice as many sexually abused children were being identified.

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Recent data indicate that levels of overweight and obesity are increasing at an alarming rate throughout the world. At a population level (and commonly to assess individual health risk), the prevalence of overweight and obesity is calculated using cut-offs of the Body Mass Index (BMI) derived from height and weight. Similarly, the BMI is also used to classify individuals and to provide a notional indication of potential health risk. It is likely that epidemiologic surveys that are reliant on BMI as a measure of adiposity will overestimate the number of individuals in the overweight (and slightly obese) categories. This tendency to misclassify individuals may be more pronounced in athletic populations or groups in which the proportion of more active individuals is higher. This differential is most pronounced in sports where it is advantageous to have a high BMI (but not necessarily high fatness). To illustrate this point we calculated the BMIs of international professional rugby players from the four teams involved in the semi-finals of the 2003 Rugby Union World Cup. According to the World Health Organisation (WHO) cut-offs for BMI, approximately 65% of the players were classified as overweight and approximately 25% as obese. These findings demonstrate that a high BMI is commonplace (and a potentially desirable attribute for sport performance) in professional rugby players. An unanswered question is what proportion of the wider population, classified as overweight (or obese) according to the BMI, is misclassified according to both fatness and health risk? It is evident that being overweight should not be an obstacle to a physically active lifestyle. Similarly, a reliance on BMI alone may misclassify a number of individuals who might otherwise have been automatically considered fat and/or unfit.

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In this paper, a singularly perturbed ordinary differential equation with non-smooth data is considered. The numerical method is generated by means of a Petrov-Galerkin finite element method with the piecewise-exponential test function and the piecewise-linear trial function. At the discontinuous point of the coefficient, a special technique is used. The method is shown to be first-order accurate and singular perturbation parameter uniform convergence. Finally, numerical results are presented, which are in agreement with theoretical results.